X-ray diagnosis apparatus

ABSTRACT

An X-ray diagnosis apparatus comprises an X-ray tube for projecting X-rays onto a subject, a two-dimensional X-ray detector for detecting X-ray signals from the subject, an image processing means for generating image signals to perform image display of the X-ray signal from the two-dimensional X-ray detector, and an image displaying means for displaying the image signal, and further comprises a noise eliminating means for generating noise correction signals from the X-ray signal of two scanning lines adjacent to each other out of a plurality of scanning lines of the two-dimensional X-ray detector and eliminating noise in an X-ray signal of the scan lines by using the noise correction signal.

TECHNICAL FIELD

[0001] The present invention relates to an X-ray diagnostic apparatus, more particularly, to an effective technique for reducing a line correlation noise, which causes deterioration of image quality obtained by a two-dimensional semiconductor X-ray detector (Flat Panel: FP).

BACKGROUND OF THE INVENTION

[0002] In a conventional X-ray diagnostic apparatus, as disclosed in Japanese Unexamined Patent Publication No. 2000-33083, “X-ray image forming apparatus”, data for correction are calculated from outputs of a detector in an area where X-ray beams do not impinge, which area is referred to as a dark area within detection areas of a two-dimensional semiconductive X-ray detector, and data for correction of an area where X-ray beams impinge (hereinafter referred to as “effective area”) are generated by using the data for correction calculated above from the detector outputs in the dark area.

[0003] However, it has been found that noise might enter even in pixels disposed in the dark area. In this case, the data for correction are generated by the noise mixed in the dark area even when the noise is not mixed in the effective area. Therefore, there are problems that the image data of one line gain an offset in its the adjacent line to generate line noise in a diagnostic image.

SUMMARY OF THE INVENTION

[0004] To solve the above-mentioned problem, the X-ray diagnostic apparatus includes: an X-ray tube for irradiating an object to be examined with X-rays; a two-dimensional X-ray detector for detecting X-ray signals from the object; image processing means for producing image signals to display an image of the X-ray signals obtained from the two-dimensional X-ray detector; and image display means for displaying the image signals, the X-ray diagnostic apparatus further including noise eliminating means for producing a noise correction signal from two adjacent scan lines among a plurality of scan lines of the X-ray signal in the two-dimensional X-ray detector, and eliminating a noise in the scan lines of the X-ray signals of the scan line by using the noise correction signal.

[0005] An object of the present invention is to provide an X-ray diagnostic apparatus that can reduce an effect of noise generated in calculating the data for correction from an output of a sensor in its dark area.

BRIEF DESCRIPTION OF THE DRAWINGS

[0006]FIG. 1 is a diagram showing a structure of an X-ray diagnostic apparatus using a two-dimensional X-ray detector;

[0007]FIG. 2 is a diagram illustrating a schematic structure of an X-ray diagnostic apparatus according to Embodiment 1 of the present invention;

[0008]FIG. 3 is a diagram illustrating a schematic structure of an X-ray diagnostic apparatus according to Embodiment 2 of the invention;

[0009]FIG. 4 is a diagram illustrating a schematic structure of an X-ray diagnostic apparatus according to Embodiment 3 of the invention;

[0010]FIG. 5 is a diagram showing a detecting area of an X-ray image and a non-detecting area thereof within a total pixel area of a two-dimensional semiconductor X-ray detector; and

[0011]FIG. 6 is a graph of image data in a line where a line noise is generated and a line adjacent to the line where the line noise is generated.

BEST MODE FOR CARRYING OUT THE INVENTION

[0012] Hereinafter, the present invention will be described according to its embodiments, with reference to drawings.

[0013]FIG. 1 shows a structure of an X-ray diagnostic apparatus. In the figure, numerical reference 1 represents an X-ray tube; numerical reference 2 represents a two-dimensional detector; numerical reference 3 represents a C-arm; numerical reference 4 represents a supporting device; numerical reference 5 represents a supporting device controller; numerical reference 6 represents a collimator controller; numerical reference 7 represents an image processing unit; numerical reference 8 represents a noise eliminating unit; and numerical reference 9 represents an image display unit. The X-ray tube 1 and the two-dimensional detector 2 are mounted on both ends of the C-arm 3 supported by the supporting device 4. A collimator for limiting an X-ray radiation field is attached to the X-ray tube 1, which is controlled by the collimator controller 6. The supporting device controller 5 controls the supporting device 4 so as to control the distance between the X-ray tube 1 and the two-dimensional detector 2, the rotation of the C-arm 3, and so on. The noise eliminating unit 8 eliminates noise of an output signal from the two-dimensional detector 2, and transfers these signals as image signals to the image processing unit 7. The image processing unit 7 processes the image signal, and displays these on the image display unit 9. The image processing unit 7 also instruct the collimator controller 6 and the supporting device controller 5 to acquire an adaptive image.

[0014]FIG. 5 shows a detecting area of the X-ray image and a non-detecting area thereof within the total pixel area of the two-dimensional semiconductor X-ray detector, wherein numerical reference 401 represents the non-detecting area (dark area), and numerical reference 402 represents the detecting area (effective area). In FIG. 5 of the present invention, the basic operation includes, first, calculating an average value of sensor outputs in the dark area 401 at each scan line, and next, reducing the line noise by subtracting the data for correction, being the above-calculated average value, from an output from the sensor in the effective area 402.

[0015]FIG. 6 is a graph of image data on a line where the line noise is generated and on a line adjacent to the line where the noise is generated, wherein the ordinate indicates a pixel value, and the abscissa indicates address in the line direction. Numerical reference 501 represents image data on the line where the line noise is generated, numerical reference 502 represents image data on the line adjacent to the line where the line noise is generated, and numerical reference 503 represents the difference between the image data of the line where the line noise is generated and that of the adjacent line.

[0016] First, when an organ having a substantially uniform X-ray dosage like a human body is subjected to radiography, it is generally rare that pixel values on adjoining lines in the X-ray image of the object greatly vary because correlation is held within an extremely minute area. Therefore, a value of image data on a predetermined line is substantially the same as a value of image data on an adjoining line, whereby the difference between these adjoining lines becomes very small.

[0017] On the other hand, according to the above-described method of reducing line noise, the average value of the sensor outputs in the dark area 401 is calculated at each line; this average value is used as the data for correction for each line; and the data for correction of each line is subtracted from the sensor output at the corresponding line in the effective area 402. Therefore, when a noise is mixed in the dark area, the data for correction on the line where the noise is mixed varies, and the sensor output to be acquired is affected by the noise. Accordingly, the difference 503 at each address, obtained by subtracting between the image data 501 on the line where the noise is mixed in the dark area and the image data 502 on the line adjacent to the line where the noise is mixed is close to the data for correction.

[0018] By comparing a difference between adjoining lines at each address (each pixel), it is possible to judge whether or not a line noise exists in the dark area. However, in comparing these at each pixel, it is delicate to know whether or not a line noise exists. Accordingly, in the present invention, all the difference values of one line are especially summed up, and the existence of a line noise in the dark area is judged from the above sum of the difference values. When line noise is not mixed in the dark area, as described above, a difference value obtained between the data values on the line to be judged and a line adjacent thereto results in a very small value. Therefore, a summed-up value obtained by adding the difference values in an address direction also results in a small value. Particularly, on a line of an image without line noise generation, a negative difference value could be obtained depending on its address because of a correlation with an adjacent line, whereby the result of summing up the difference values obtained at each lines are still smaller.

[0019] On the other hand, since a value of the image data on the line where a noise is mixed in the dark area is increased by the amount corresponding to the mixed noise as described above, a difference value between a line mixed with noise and a line adjacent thereto is also increased by a value corresponding to the noise. Consequently, when a difference value of one line is added, a summed-up difference value is naturally added by a value in response to a noise mixed in the dark area, whereby the summed-up value becomes close to an error of a correction value. Accordingly, when the error of the correction value is large, the above summed-up value becomes also large. The number of pixels in the dark area 401 is generally 64 to 128. Meanwhile, according to the present invention, the sensor output in the dark area 401, i.e., the average value of the pixel values in the dark area 401, is utilized as described above, whereby, the error does not become large and the standard value of the error can be set, for example, about 5 to 10 for one pixel. Accordingly, in a two-dimensional X-ray detector having 1024 pixels for one line, when the error per pixel is 5, the error is about: 1024×5=5120. Further, when the error per pixel is 10, the error value is about: 1024×10=10240.

[0020] Accordingly, when a result of adding a difference value of one line is between 5120 and 10240, it can be judged that a noise is mixed in the dark area 401. In this case, according to the present invention, the acquired value between 5120 and 10240 is divided by the pixel number, and thus obtained value is subtracted from every pixel value in the X-ray detection area 402, or added to every pixel value of the X-ray detection area 402, whereby the pixel values that has been corrected against the noise mixed in the dark area 01 is further corrected, wherein the same effect as modification of the corrected data is obtainable.

[0021] (Embodiment 1)

[0022]FIG. 2 is a diagram for illustrating a schematic structure of X-ray diagnostic apparatus according to Embodiment 1 of the present invention, particularly for illustrating a schematic structure of noise eliminating unit 8 provided for eliminating a noise included in image data detected by the two-dimensional semiconductor X-ray detector (FP). Since all components of the X-ray diagnostic apparatus according to Embodiment 1 is known except for the noise eliminating unit 8, the noise eliminating unit 8 will be described in detail in the following explanation. However, although a case where subtracting means 104, adding means 106, judging means 107, and calculating means 108 are realized by a program in a known information processing unit forming the X-ray diagnostic apparatus according to Embodiment 1, these components may be realized by a hardware for the exclusive use.

[0023] The noise eliminating unit 8 according to Embodiment 1 includes: a first line memory 101 for storing image data of one scan line (of one line), output by calculating means 108; a first low pass filter 102 for eliminating high-frequency components of the image data read out from the line memory 101; a second low pass filter 103 for eliminating high-frequency components of X-ray image data for one line, output by correcting means (not shown); subtracting means 104 for subtracting between a pixel value of image data after correction that has passed through the second low pass filter 103 and a pixel value of image data output from the first line memory 101 and passed through the first low pass filter 102, both pixel values belonging to a common address in a line direction; adding means 106 for sequentially adding the difference values between the pixel value on a predetermined line, being the value output by the subtracting means 104 and a pixel value on a line immediate before the predetermined line; judging means 107 for comparing the above added value (sum) of the difference values for one line with a predetermined value (not shown), so as to judge whether the sum is in a predetermined range; and calculating means 108 for applying predetermined correction to the image data stored in a second line memory in accordance with the judgment by the judging means 107, and outputting the corrected data.

[0024] Next, the operation of eliminating the line correlation noise by the noise eliminating unit 8 according to Embodiment 1 will be described.

[0025] An X-ray beam impinging on a FP is converted into an electric signal by the FP, and is sequentially output to correcting means (not shown) as image data for each scan line. The image data input to the correcting means is first separated into image data of a dark area 401 and that of an effective area 402, respectively shown in FIG. 5. Next, the average value of the image data in the dark area is calculated, this value is subtracted from the image data in the effective area 402 using the average value as data for correction for a line to be corrected, and the image data of the effective area 402 after the above subtraction is sequentially input into the noise eliminating unit 8 according to Embodiment 1.

[0026] In the noise eliminating unit, the image data of the effective area 402 after correction is input into the second low pass filter 103 and also to the second line memory 105. After high-frequency components of the image data input into the second low pass filter 103 is cut off, the image data is input into the subtracting means 104.

[0027] Here, if image data input to the subtracting means 104 is of the first line for one frame, image data of the last line of the immediately previous frame or an initial value (for example, zero) is stored in the first line memory 101. Therefore, according to Embodiment 1, the calculating means 108 outputs the data input into the second line memory 105 as data subjected to the noise elimination. Therefore, the noise is not eliminated from the image data on the first line. However, because an examiner ordinarily conducts the X-ray fluoroscopy and X-ray radiography while positioning a region of interest (ROI) is located on the center of the display monitor, it is not a problem even if a noise is generated on the first line located on the upper edge of the display monitor. According to Embodiment 1, it is constructed so that image data output from correction means (not shown) and including information of a line representing whether or not this image data are those of the first line for one frame are input into the calculating means 108, and the calculating means 108 judges whether the image data input to the second line memory 105 is output as is, or it is output after eliminating noise therefrom. Accordingly, in Embodiment 1, it is not especially limited whether or not the subtracting means 104, the adding means 106, and/or the judging means 107 should operate as predetermined when the input image data are of the first line for one frame.

[0028] Meanwhile, when image data input to the subtracting means 104 is those for one frame on the second or subsequent lines, image data stored on the first line memory 101 are those on the line immediately preceding a line input to the noise eliminating unit 8. Accordingly, as shown in FIG. 6, the result 503 of subtracting between the image data 502 of the immediately preceding line input to the subtracting means 104 via the first low pass filter 102 and the image data 501 input to the subtracting means 104 via the second low pass filter 103 is that obtained for each pixel on an identical address in a line direction and output by the subtracting means 105. The values of these subtracting results 503 are sequentially added by the adding means 106. Here, according to Embodiment 1, it is constructed that the result of addition (the output of the adding means 106) is constantly output to the judging means 107. Needless to say that the addition result may be output by the adding means 106 to the judging means 107 when the addition for one line is finished.

[0029] When the addition for one line is finished, it is judged whether or not the sum is in a predetermined range of value (for example, in the range of 5120 to 10240), whereby it is judged whether or not a noise is mixed in the line or not, and the resultant judgment is output to the calculating means 108 as described in the above-mentioned principle. Here, if it is judged that noise is not mixed, image data for one line, which data are stored on the second line memory 105, are output as image data subjected to the noise elimination via the calculating means 108. At this point, the image data output by the calculating means 108 is sequentially stored on the first line memory 101 and also on storing means (not shown) for collecting image data.

[0030] Meanwhile, if it is judged by the judging means 107 that a noise is mixed in, as described in the above section about the principle, after the calculating means 108 calculates a value obtained by averaging the sum acquired by the adding. means 106 with an added pixel number, a value obtained by subtracting the average value from the value of image data for each pixel in the second line memory is output as the image data after noise elimination. The image data output by the calculating means 108 is sequentially stored on the first line memory 101 and on the storing means (not shown) for collecting image data.

[0031] Subsequently, a noise which has been mixed in the dark area and is unable to be removed by the correcting means is eliminated by sequentially repeating the above-described noise eliminating operation at each line.

[0032] In this manner, after the image data from which the noise has been eliminated is stored in the storing means (not shown) of X-ray images, as described above, it is also stored in a conventional hard disk device, an optical disk device, a magneto-optical disk device, or the like, which are included in the information processing unit constituting the X-ray diagnostic apparatus according to Embodiment 1. Further, the image processing unit 7 sequentially reads out the image data from the storing means, performs a known image processing such as conventional edge enhancement and gray scale correction, and outputs the processed image data to the image display unit 9. In the image display unit 9, the image data for one frame is converted into a known input signal format for display means such as a television monitor, and an X-ray image is displayed on the surface of the display means. At this time, in the X-ray diagnostic apparatus according to Embodiment 1, an X-ray image in which the effect of noise mixed in the dark area 401 is corrected for can be displayed.

[0033] (Embodiment 2)

[0034]FIG. 3 is a diagram illustrating the outline structure of an X-ray diagnostic apparatus according to Embodiment 2 of the present invention, particularly the outline structure of noise eliminating unit 8 for eliminating a noise included in image data detected by the FP is illustrated. However, because the noise eliminating unit 8 of the X-ray diagnostic apparatus according to Embodiment 2 has the same structure as that of Embodiment 1 except for selecting means 201, a third line memory 202, and judging means 203, hereinbelow the selecting means 201, the third line memory 202, and the judging means 203 are described in detail. Although a case where the selecting means 201 and the judging means 203 that are realized by a program operating through the conventional information processing unit will be described, it is also possible to realize by a dedicated hardware.

[0035] The noise eliminating unit 8 according to Embodiment 2 is constructed to include selecting means 201 for selecting the output of the noise eliminating means 8 from between image data output by the calculating means 108 and image data stored in the third line memory 202. However, the third line memory 202 always stores image data of a line immediately before a line of which image data are stored in the second memory 105 in the same manner as in the first line memory 101.

[0036] Here, the judging means 203 according to Embodiment 2 has a structure such that an output function for informing a sum output by an adding means 106 exceeds a judgment value (for example, 10240) according to Embodiment 1, in addition to the function of the judging means 107 according to Embodiment 1 described above. That is, the judging means 203 according to Embodiment 2 sends output generated by the function of the judging means 107 according to Embodiment 1 to the calculating means 108. If the above sum exceeds the judgment value, the output is sent to the selecting means 201.

[0037] Consequently, in the noise eliminating unit 8 according to Embodiment 2, if the value acquired by adding the differences between inputted image data of one line and image data of the immediately preceding line exceeds the judgment value, it is judged that an unremovable noise is mixed in any of the dark area 401 or the effective area 402, and image data on the line where the noise has entered is replaced with that of the immediately preceding line and output as noise-free image data for the line. Image data to be replaced with a line where a large noise is detected is not limited to image data on the immediately previous line; it may be replaced with image data on the succeeding line, or image data being interpolated from image data on the preceding and the succeeding lines, or the image data on still another line.

[0038] However, image data output by the selecting means 201 is stored on storing means (not shown) of X-ray images, and, after that, it is stored on a conventional hard disk device, optical disk, or magneto-optical disk included in the information processing unit that constitutes the X-ray diagnostic apparatus according to Embodiment 2, in the same manner as in the X-ray diagnostic apparatus according to Embodiment 1. Further, the image processing unit 7 sequentially reads out images from the storing means, performs conventional image processing such as edge enhancement and gray-scale correction, and outputs the processed image data to the image display unit 9. In the image processing unit 9, the image data for one frame is converted into signals in the format of conventional display means, such as a television monitor, and an X-ray image is displayed on the surface of the display means, whereby the same effect as the above-described X-ray diagnostic apparatus according to Embodiment 1 is obtained. At this time, in an ultrasonic diagnostic apparatus according to Embodiment 2, the image data on the line where a large noise is mixed entered is replaced with that of other line or that generated on the basis of image data on other line, whereby an X-ray image having a further improved noise eliminating performance can be collected and displayed.

[0039] (Embodiment 3)

[0040]FIG. 4 is a diagram illustrating the outline structure of the X-ray diagnostic apparatus according to Embodiment 3 of the present invention, wherein the outline structure of the noise eliminating means 8 for eliminating a noise included in image data detected by the FP is particularly illustrated in detail. However, because all the components of a noise eliminating unit 8 in an X-ray diagnostic apparatus according to Embodiment 3 are the same as those of the noise eliminating unit 8 according to Embodiment 2 except for a frame memory 301, hereinafter only the frame memory 301 will be described in detail. In the same manner as Embodiment 1, the frame memory 301 can be realized by an external memory included in a conventional information processing unit forming the X-ray diagnostic apparatus according to Embodiment 3.

[0041] The frame memory 301 works as storing means for storing image data of an immediately previous frame of image data on a line input by correcting means (not shown). Accordingly, in the noise eliminating unit 8 according to Embodiment 3, if a value acquired by adding differences between image data of inputted line and that of a line immediately preceding the inputted line exceeds a judgment value, it is judged that an unremovable noise is mixed in a dark area 401 or an effective area 402, and image data on the line is replaced with that of the immediately preceding frame for one frame. Incidentally, the image data to be replaced with that on a line where a large noise is detected are not limited to the image data on the immediately preceding frame and may be image data of the immediately succeeding frame, that interpolated on the basis of the immediately preceding and the immediately succeeding frames, or that of still another frame.

[0042] However, although the replacement of the image data according to Embodiment 3 is effective in X-ray fluoroscopy for consecutively collecting image data on a plurality of frames, it is inapplicable when an X-ray image is collected one by one, as in the X-ray radiography. Therefore, it is possible to constitute an X-ray diagnostic apparatus applicable to both X-ray fluoroscopy and X-ray radiography by eliminating a noise by the noise eliminating unit 8 according to Embodiment 3 during X-ray fluoroscopy and by the noise eliminating unit 8 according to Embodiment 1 or 2 during X-ray radiography.

[0043] The present invention has been specifically described according to the above embodiments; however, the present invention is not limited to the above embodiments, and can be modified in various ways without departing from the summary thereto. 

What is claimed is:
 1. An X-ray diagnostic apparatus comprising: an X-ray tube for irradiating an object to be examined with an X-ray; a two-dimensional X-ray detector for detecting an X-ray passing through the object; image processing means for producing an image signal to display an image of the X-ray signal from the two-dimensional X-ray detector; and image display means for displaying the image, the X-ray diagnostic apparatus further comprising noise eliminating means for producing a noise correction signal from X-ray signals on two adjoining scan lines among a plurality of scan lines of the two-dimensional X-ray detector, and for eliminating a noise mixed in the X-ray signal of the scan line by using the noise correction signal.
 2. An X-ray diagnostic apparatus according to claim 1, wherein the noise eliminating means includes subtracting means for performing subtraction between the X-ray signals of the two adjoining scan lines on an identical address, and produces the noise correcting signal from a the difference value calculated by the subtracting means.
 3. An X-ray diagnostic apparatus according to claim 1, wherein the noise eliminating means includes: subtracting means for subtracting between a value of a pixel on the scan line immediately preceding a first scan line and the value of a pixel on the first scan line in an identical address of the two-dimensional X-ray detector; adding means for adding the difference values calculated by the subtracting means; and calculating means for calculating an average difference value for each scan line from the added value obtained by the adding means and correcting the pixel value of the first scan line by using the average difference value.
 4. An X-ray diagnostic apparatus according to claim 3, wherein the subtracting means performs subtraction in an area where an X-ray is not detected.
 5. An X-ray diagnostic apparatus according to claim 3, further comprising judging means for judging whether or not a line noise exist from the added value obtained by the adding means.
 6. An X-ray diagnostic apparatus according to claim 5, wherein, when it is judged by the judging means that a line noise exists, the calculating means corrects the pixel value of the first scan line by the average difference value.
 7. An X-ray diagnostic apparatus according to claim 5, wherein, when it is judged by the judging means that a line noise does not exist, the pixel value of the first scan line is not corrected and output as is.
 8. An X-ray diagnostic apparatus according to claim 3, wherein the calculating means corrects the pixel value of the first scan line by replacing it with a pixel value of the scan line immediately preceding the first scan line.
 9. An X-ray diagnostic apparatus according to claim 3, wherein the calculating means corrects a pixel value of the first scan line by replacing it with a value obtained by interpolating pixel value of pixel values of the two scan lines adjacent to the first scan line.
 10. An X-ray diagnostic apparatus according to claim 3, wherein the calculating means corrects the pixel values of the first scan line by replacing a value of each pixel with that of an identical pixel in the adjacent frame.
 11. An X-ray diagnostic apparatus according to claim 3, wherein the calculating means corrects the pixel value of the first scan line by replacing it with a value obtained by interpolating values of the two corresponding pixels in the sandwiching frames in an identical scan line.
 12. An X-ray diagnostic apparatus according to claim 3, wherein pixel values on scan lines of the two-dimensional X-ray detector are repeatedly corrected for each scan line.
 13. An X-ray diagnostic apparatus according to claim 1, wherein the noise eliminating means includes: a first line memory for storing image data of one scan line; a second line memory for storing image data of the scan line immediately preceding the scan line stored in the first line memory; a first low pass filter for removing a high-frequency component of the image data read out from the first line memory; a second low pass filter for removing a high-frequency component of the image data of the preceding scan line; subtracting means for calculating a difference between values of pixel of the image data from the first line memory passing through the low pass filter and of the image data passing through the low pass filter on the same address in line directions; adding means for adding the difference value to the pixel value on a predetermined scan line, the pixel value being an output value from the subtracting means; and calculating means for providing the image data on the adjacent line for a predetermined correlation, and outputting thus-corrected image data as a corrected output.
 14. An X-ray diagnostic apparatus according to claim 13, comprising judging means for comparing the difference value with a predetermined standard value, and judging whether or not the difference value is within a range.
 15. An X-ray diagnostic apparatus according to claim 14, wherein, when existence of a line noise is judged by the judging means the calculating means calculates a value by dividing it by the number of pixels to which the added values obtained by the adding means are added, and provides the image data of the adjacent scan line with a predetermined correction and output the thus-corrected value.
 16. An X-ray diagnostic apparatus according to claim 14, wherein, when it is judged that there is no line noise by the judging means, the image data of the adjacent scan line is output as the image data via the calculating means.
 17. An X-ray diagnostic apparatus according to claim 13, wherein the calculating means replaces the image data on the first scan line with the image data on the scan line adjacent to the first scan line to correct the image data.
 18. An X-ray diagnostic apparatus according to claim 13, wherein the calculating means interpolates the two scan lines adjacent to the first scan line to apply to the image data on the first scan line.
 19. An X-ray diagnostic apparatus according to claim 13, wherein the calculating means replaces the image data on the first scan line with the image data on an identical line in a frame adjacent to the first scan line to correct the image.
 20. An X-ray diagnostic apparatus according to claim 13, wherein the calculating means replaces a pixel value on the first scan line with an interpolated value of the two image values on a scan line at a line the same as that of the first scan line in the frames adjacent to the first scan line.
 21. An X-ray diagnostic apparatus according to claim 13, wherein pixel values on scan lines of the two-dimensional X-ray detector are repeatedly corrected for each scan line.
 22. An X-ray diagnostic apparatus according to claim 1, wherein the noise eliminating means includes means for judging whether or not a correction of a pixel value on a scan line is necessary, in accordance with the sizes of value of pixels on a scan line and the sizes of value of their predetermined pixels in the non-detecting area where the X-ray beam is impinged in the two-dimensional X-ray detector; and means for correcting at least the pixel values on the scan line in the detecting area where the X-ray beam is impinged with the values of the peripheral pixels when the necessity of the correction is resultantly judged.
 23. An X-ray diagnostic apparatus according to claim 1, wherein the noise eliminating means includes means for judging whether or not a correction of a pixel value on a scan line is necessary depending on the sizes of value of pixels on a scan line and the sizes of value of their pixels in the non-detection area in the two-dimensional X-ray detector where an X-ray beam is not impinged; and means for correcting at least the pixel values on a scan line in the detection area with the pixel values of the scan line in the sequentially collected X-ray images. 